[VOLUMETRIC 3D BOUNDING • INDIVIDUAL TYPE PAGE]

3D Cuboid & LiDAR Annotation

Volumetric 3D bounding box extent, centroid coordinate, and yaw angle labeling across multi-sensor LiDAR point clouds and camera feeds.

3D CUBOID & LIDAR ANNOTATION TELEMETRY INSPECTOR • HITL QA PASS: GROUND TRUTH VERIFIED

Quality & Precision Benchmarks

3D IOU ACCURACY

> 88.4%

CENTROID ERROR

< 1.8 cm

YAW PRECISION

< 0.5°

SUPPORTED FORMATS

PCD, Parquet, HDF5, KITTI

Dataset Taxonomy & Output Structure

centroid_3d (x, y, z Meters)

extent_3d (length, width, height Meters)

rotation_yaw_pitch_roll (Radians)

points_count_inside (Point Cloud Density)

Specific Type Tasks & Applications

• 3D LiDAR Autonomous Driving Object Tracking
• Warehouse AMR Freight Cuboid Fitting
• Industrial Robotics Spatial Distance Estimation

What Is Right vs What Is Wrong

COMMON COMPETITOR ERRORS (WRONG)	BLUE PROJECTS GROUND TRUTH (RIGHT)
FAIL: Loose 3D bounding cuboids hovering off ground planes	PASS: Ground-plane aligned 3D bounding cuboids with exact orientation yaw
FAIL: Single-sensor camera 2D boxes lacking 3D volumetric extent	PASS: Fused camera-LiDAR 3D volumetric cuboid annotations with reflectivity channels

Files & Telemetry Data Example (Python)

import json

# Load Blue Projects Annotation Data Type: 3D Cuboid & LiDAR Annotation
with open("3d-cuboid-lidar-annotation_annotation_sample.json", "r") as f:
    data = json.load(f)
print("Loaded Keys:", list(data.keys()))

Why Blue Projects for 3D Cuboid & LiDAR Annotation?

Request a free POC pilot annotation batch (up to 500 frames annotated free within 24 hours).

Request Free POC Pilot Batch →